API for DDPstar
Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
| Global functions | |
|---|---|
| DDPstar | Man page Source code |
| DDPstar-package | Man page |
| F_code | Source code |
| F_inv_code | Source code |
| Rten2 | Source code |
| bbase.bs | Source code |
| bbase.interaction.factor.by.curve.bs | Source code |
| bbase.interaction.vc.bs | Source code |
| bbase.psanova.bs | Source code |
| bddp_ps | Source code |
| bddp_ps_steps | Source code |
| dde | Man page |
| design.matrix.DDPstar | Source code |
| dic | Source code |
| f | Man page Source code |
| get_vars_formula | Source code |
| inf_criteria | Source code |
| interpret.DDPstarformula | Source code |
| lpml | Source code |
| lpml_new | Source code |
| mcmccontrol | Man page Source code |
| ols.function | Source code |
| predict.DDPstar | Man page Source code |
| predict.design.matrix.DDPstar | Source code |
| predict_DDPstar.denfun | Source code |
| predict_DDPstar.probfun | Source code |
| predict_DDPstar.quantfun | Source code |
| predict_DDPstar.regfun | Source code |
| predict_DDPstar.varfun | Source code |
| predict_bbase.bs | Source code |
| predict_bbase.interaction.factor.by.curve.bs | Source code |
| predict_bbase.interaction.vc.bs | Source code |
| predict_bbase.psanova.bs | Source code |
| predict_design.matrix.DDPstar.aux | Source code |
| predictive.checks.DDPstar | Man page Source code |
| print.DDPstar | Man page Source code |
| print.summary.DDPstar | Source code |
| priorcontrol | Man page Source code |
| quantileResiduals | Man page |
| quantileResiduals.DDPstar | Man page Source code |
| rae | Man page Source code |
| summary.DDPstar | Man page Source code |
| waicnp | Source code |
| waicnp_new | Source code |
